OpenMMLab Pose Estimation Toolbox and Benchmark.

Awesome work on hand pose estimation/tracking

Network estimating 3D Handpose from single color images

MediaPipe(Python版)を用いて手の姿勢推定を行い、検出したキーポイントを用いて、簡易なMLPでハンドサインとフィンガージェスチャーを認識するサンプルプログラムです。（Estimate hand pose using MediaPipe(Python version). This is a sample program that recognizes hand signs and finger gestures with a simple MLP using the detected key points.）

A dataset for estimation of hand pose and shape from single color images.

Official Torch7 implementation of "V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map", CVPR 2018

Code for paper "A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image". ICCV2019

Official repository of Human3.6M 3D WholeBody (H3WB) dataset

Dataset and code for the paper "First-Person Hand Action Benchmark with RGB-D Videos and 3D Hand Pose Annotations", CVPR 2018.

Handy makes defining and recognizing custom hand poses in WebXR a snap!

Real-time hand pose estimation and gesture classification using TensorRT

👋 👌 research codebase for depth-based hand pose estimation using dynamics based tracking and CNNs

🔥(CVPR 2023) ACR: Attention Collaboration-based Regressor for Arbitrary Two-Hand Reconstruction

PyTorch implementation of V2V-PoseNet with IntegralPose/PoseFix loss

3D hand pose estimation via dense regression

Code for "Pose Guided Structured Region Ensemble Network for Cascaded Hand Pose Estimation", Neurocomputing 2020

🔥(CVPR 2025 Highlight) Dyn-HaMR: Recovering 4D Interacting Hand Motion from a Dynamic Camera

CrossInfoNet of CVPR 2019 for hand pose estimation

Code for paper <AWR: Adaptive Weighting Regression for 3D Hand Pose Estimation>. Accepted by AAAI 2020.